Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Characteristics of Convective Parameters Derived from Rawinsonde and ERA5 Data Associated with Hailstorms in North-eastern Romania

Version 1 : Received: 29 May 2023 / Approved: 30 May 2023 / Online: 30 May 2023 (10:36:08 CEST)

A peer-reviewed article of this Preprint also exists.

Istrate, V.; Podiuc, D.; Sîrbu, D.A.; Popescu, E.; Sîrbu, E.; Popescu, D.D. Characteristics of Convective Parameters Derived from Rawinsonde and ERA5 Data Associated with Hailstorms in Northeastern Romania. Meteorology 2023, 2, 387-402. Istrate, V.; Podiuc, D.; Sîrbu, D.A.; Popescu, E.; Sîrbu, E.; Popescu, D.D. Characteristics of Convective Parameters Derived from Rawinsonde and ERA5 Data Associated with Hailstorms in Northeastern Romania. Meteorology 2023, 2, 387-402.

Abstract

Using a database of 378 hail days between 20981 and 2020, the climatic characteristics of 23 convective parameters from sounding data and ERA5 data were statistically analyzed. The goal of this work is to evaluate the usefulness and representativeness of convective parameters derived from sounding data and reanalysis data for the operational forecast of the hail phenomenon. As a result, average values from 12:00 UTC were 433J / Kg for CAPE in the case of data from ERA5 and 505 J/kg from rawinsonde respectively. The Spearman correlation coefficients matrix between the values of the parameters indicates high correlations between the parameters calculated based on the parcel theory, the humidity indices, and the complex indices. The probability for large hail maximizes with high low level and boundary layer moisture, high CAPE, and a high lifted condensation level height.

Keywords

hailstorm; convective environment; statistical correlation; hail forecasting

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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